Agentic AI Developer

Job Description: Senior Agentic AI Developer

Experience: 6+ years overall, including 2+ years in GenAI/Agentic AI Location: MumbaiJob Overview

L&T Finance is looking for a Senior Agentic AI Developer with hands-on experience in designing, developing, and deploying scalable, production-ready AI applications. The ideal candidate should have expertise in LLMs, multi-agent systems, RAG pipelines, and cloud infrastructure, preferably in high-volume B2C environments.

Key Responsibilities

• Design and develop single-agent and multi-agent AI systems using LangGraph, LangChain, Google ADK, and Pydantic AI.
• Build LLM-powered chatbots, voicebots, copilots, and conversational AI applications.
• Develop RAG pipelines using vector databases and knowledge graphs.
• Integrate LLMs such as OpenAI, Gemini, Claude, and LLaMA.
• Implement MCP, A2A protocols, tool calling, memory, and agent orchestration.
• Develop scalable backend services and APIs using Python and FastAPI.
• Deploy and optimize AI applications on cloud platforms, preferably GCP.
• Monitor production performance, latency, reliability, and cost.

Required Skills

• Programming: Python, FastAPI, SQL
• AI Frameworks: LangChain, LangGraph, Google ADK, Pydantic AI
• LLMs: OpenAI, Gemini, Claude, LLaMA, Mistral
• Vector Databases: FAISS, Pinecone, Chroma, GCP Vector Search
• Protocols: MCP, A2A, REST APIs, gRPC, WebSockets
• Cloud & DevOps: GCP, Docker, GKE, Cloud Run, CI/CD
• Experience in production deployment, multi-agent orchestration, RAG, and LLM optimization is essential.

Experience Requirements

• 6+ years of overall application development experience.
• 2+ years of hands-on experience in Generative AI and Agentic AI.
• Proven experience taking AI applications from PoC to production.
• Experience building scalable, reliable, high-volume applications.

Preferred: Candidates with experience in enterprise-grade Agentic AI systems, LLM fine-tuning, GPU-based inference, and production observability.